MSc in Data Science and Analytics in Ottawa Canada | Toronto Metropolitan University

This distinctive Master of Science (MSc) program equips students with cross-disciplinary expertise while fostering comprehensive technical and applied knowledge in data science and analytics. Graduates emerge as highly skilled data science professionals prepared for careers across industry, government, and research sectors.

Available as a one-year full-time or two-year part-time MRP track, plus a two-year full-time Thesis option, the program offers flexible delivery through fully virtual or hybrid (virtual and in-person) course formats.

Our MSc in Data Science and Analytics combines traditional lectures with practical lab sessions, allowing students to hone their skills by working with complex, real-world datasets and analytical challenges.
As program director, I take great pride in leading this Data Science and Analytics initiative. I warmly invite you to explore the dynamic field of data science in Toronto's vibrant downtown core, where you'll collaborate with top academics and industry experts.

Data science represents a convergence of multiple disciplines. The ideal data scientist combines diverse capabilities including statistical analysis, mathematical modeling, machine learning, operations research, data visualization, effective communication, and domain-specific knowledge. Our program stands out through its interdisciplinary approach, teaching you how analytics can enhance decision-making across organizational processes, how prescriptive analytics translate insights into actions, the methodologies behind data-driven modeling, and practical experience with industry-standard tools. We collaborate with industry partners to provide access to rich datasets spanning healthcare, software development, social media, service industries, and finance.

Our faculty bring the multifaceted expertise required for this evolving field. The curriculum delivers advanced training in data science principles and methods, emphasizing their real-world applications across business, government, and research contexts. Core technical competencies - including mathematics, statistics, operations research, and programming - align with current market demands, forming the foundation of our Master's program design.